Jun Xu

Orcid: 0000-0001-5315-8811

Affiliations:
  • Nanjing University of Information Science & Technology, China
  • Rutgers State University, NJ, USA (former)


According to our database1, Jun Xu authored at least 35 papers between 2006 and 2024.

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Timeline

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Bibliography

2024
Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning.
Comput. Methods Programs Biomed., January, 2024

2023
Predicting recurrence in osteosarcoma via a quantitative histological image classifier derived from tumour nuclear morphological features.
CAAI Trans. Intell. Technol., September, 2023

2022
A novel pipeline for computerized mouse spermatogenesis staging.
Bioinform., November, 2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR, 2022

Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images.
Comput. Biol. Medicine, 2022

2021
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis.
Medical Image Anal., 2021

Stacked-autoencoder-based model for COVID-19 diagnosis on CT images.
Appl. Intell., 2021

2020
Accelerated Two-Stage Particle Swarm Optimization for Clustering Not-Well-Separated Data.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Automated gleason grading on prostate biopsy slides by statistical representations of homology profile.
Comput. Methods Programs Biomed., 2020

Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Prior-Aware CNN with Multi-Task Learning for Colon Images Analysis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A DNN for Arrhythmia Prediction Based on ECG.
Proceedings of the Health Information Science - 9th International Conference, 2020

Telemedicine System with Elements of Artificial Intelligence for Health Monitoring During COVID-19 Pandemic.
Proceedings of the Health Information Science - 9th International Conference, 2020

2019
Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule.
Proceedings of the Digital Pathology - 15th European Congress, 2019

Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net.
Proceedings of the Digital Pathology - 15th European Congress, 2019

2017
Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

2016
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
IEEE Trans. Medical Imaging, 2016

Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis.
IEEE J. Biomed. Health Informatics, 2016

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.
Neurocomputing, 2016

2015
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.
Comput. Medical Imaging Graph., 2015

2014
Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2011
A high-throughput active contour scheme for segmentation of histopathological imagery.
Medical Image Anal., 2011

Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010

A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010

Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances.
IEEE Trans. Inf. Technol. Biomed., 2009

Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function.
IEEE Trans. Neural Networks, 2008

An estimation of the domain of attraction for recurrent neural networks with time-varying delays.
Neurocomputing, 2008

2007
On Stability of Neural Networks by a Lyapunov Functional-Based Approach.
IEEE Trans. Circuits Syst. I Regul. Pap., 2007

2006
Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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